IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset. It can also be challenging to operationalize data analytics models.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 135

Business Intelligence Dashboards Data mining OLAP 135

Smarten

NOVEMBER 26, 2023

Find out how business intelligence and analytics technology can support your enterprise and engage the experts to help you choose an approach.’ This approach typically focuses on descriptive analytics based on historical data to answer the question “What happened?” or What is happening?

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Sisense

JUNE 30, 2020

Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

MARCH 2, 2018

And entirely new utility start-ups such as Drift use machine learning technologies to provide customers with cheaper wholesale energy prices by more accurately predicting consumption. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43